1 00:00:07,340 --> 00:00:09,340 [ Music ] 2 00:00:10,516 --> 00:00:18,216 [ Foreign Language Spoken ] 3 00:00:20,400 --> 00:00:22,400 [ Airplane Engine ] 4 00:00:23,516 --> 00:00:36,500 [ Background Conversations ] 5 00:00:40,166 --> 00:00:42,366 >> We're trying to understand the global carbon cycle, 6 00:00:42,676 --> 00:00:47,396 and we're trying to understand climate change and the effect 7 00:00:47,396 --> 00:00:50,646 that climate change might have on our planet in the future. 8 00:00:50,866 --> 00:00:52,436 >> The main question we're trying 9 00:00:52,496 --> 00:00:55,786 to answer here is how much carbon is stored 10 00:00:55,856 --> 00:00:57,196 in the forest ecosystems. 11 00:00:58,026 --> 00:01:01,586 We understand very well what's happening in the atmosphere 12 00:01:01,686 --> 00:01:04,536 and the oceans but not so much forested sites. 13 00:01:05,626 --> 00:01:08,736 >> And when it comes to forest structure in particular, 14 00:01:08,736 --> 00:01:11,076 there is a huge hole over Africa. 15 00:01:11,076 --> 00:01:14,896 We don't have the data that we need anywhere in Africa. 16 00:01:16,216 --> 00:01:19,476 >> The one element that's missing is us being able 17 00:01:19,526 --> 00:01:22,086 to map the vertical structure of forests. 18 00:01:22,986 --> 00:01:26,086 When you look at an image, you can tell there's forest there, 19 00:01:26,086 --> 00:01:29,846 you can tell it's green, but we don't know how tall it is. 20 00:01:30,056 --> 00:01:33,996 If we can tell how tall it is, then that's a very good proxy 21 00:01:34,366 --> 00:01:38,086 for how much it weighs and with that you can infer biomass 22 00:01:38,806 --> 00:01:40,876 and with that you can infer carbon. 23 00:01:41,756 --> 00:01:44,996 >> NASA has a few upcoming missions to look at this, 24 00:01:44,996 --> 00:01:47,066 and so does the European Space Agency. 25 00:01:47,426 --> 00:01:49,486 We have lots of different things we're putting in space, 26 00:01:49,946 --> 00:01:52,126 but one of the main goals of all of these missions is 27 00:01:52,166 --> 00:01:54,636 to count how much carbon is stored in the earth's forests. 28 00:01:55,186 --> 00:01:58,636 So how we do that is essentially measure how big the trees are. 29 00:01:58,736 --> 00:02:01,506 Especially here in the tropics, most of the carbon is stored 30 00:02:01,606 --> 00:02:03,536 in the tree trunks and above the ground, 31 00:02:04,016 --> 00:02:07,586 so we're measuring how fat the trees are, how tall they are, 32 00:02:07,586 --> 00:02:11,170 and then comparing that to our spaceborne measurements. 33 00:02:11,676 --> 00:02:12,966 >> 51.3. 34 00:02:13,686 --> 00:02:14,776 >> The picture is degraded, 35 00:02:14,826 --> 00:02:17,746 but it shows the carbon cycling of the forest. 36 00:02:18,216 --> 00:02:22,106 The sun and the light would actually shine on this forest 37 00:02:22,496 --> 00:02:24,976 and they absorb the carbon from the atmosphere, 38 00:02:25,066 --> 00:02:27,816 from the photosynthetic activities, and they grow. 39 00:02:28,446 --> 00:02:29,816 So as the forest grows, 40 00:02:30,266 --> 00:02:32,926 we capture more carbon from the atmosphere. 41 00:02:32,926 --> 00:02:34,686 So the forests are extremely important 42 00:02:35,136 --> 00:02:38,126 for global carbon cycle and climate change because we -- 43 00:02:38,516 --> 00:02:41,046 by having the forest, we mitigate part 44 00:02:41,896 --> 00:02:45,206 of the carbon we put in the atmosphere 45 00:02:45,206 --> 00:02:48,296 from our cars and our factories. 46 00:02:49,516 --> 00:02:54,546 [ Airplane Engine ] 47 00:02:55,046 --> 00:02:56,946 >> There is a very big effort 48 00:02:56,986 --> 00:03:00,446 to integrate the remote sensing imagery with ground data. 49 00:03:01,196 --> 00:03:05,016 What we can get from remote sensing is the vertical 50 00:03:05,106 --> 00:03:09,356 structure of the forest, but we need people on the ground to tie 51 00:03:09,400 --> 00:03:12,410 that information to biomass. 52 00:03:12,826 --> 00:03:15,206 The biomass is what we're really after. 53 00:03:15,756 --> 00:03:18,956 And with ground plots, we can make that connection 54 00:03:19,026 --> 00:03:23,396 between a height in the particular plot and the biomass. 55 00:03:26,536 --> 00:03:29,126 >> So when we are looking at the forest, 56 00:03:29,126 --> 00:03:32,306 we are very much interested in this trip to look 57 00:03:32,306 --> 00:03:33,926 at the structure of the forest. 58 00:03:34,046 --> 00:03:40,136 The trees have irregular shape, but the volume of the trees 59 00:03:40,136 --> 00:03:42,556 and the size of the trees is extremely important for us 60 00:03:42,556 --> 00:03:46,686 because that tells us what would be the mass of the forest. 61 00:03:46,686 --> 00:03:50,026 So if we measure the diameter of the trees and tree height 62 00:03:50,286 --> 00:03:54,086 and know the wood density of the trees, we get an estimate 63 00:03:54,086 --> 00:03:56,746 of the mass of the tree, and almost half 64 00:03:56,746 --> 00:03:58,976 of the mass is carbon. 65 00:03:59,046 --> 00:04:03,016 So by measuring the size, we actually get an estimate 66 00:04:03,016 --> 00:04:05,896 of the carbon in the forest, and that helps us a lot 67 00:04:06,406 --> 00:04:10,186 to use our measurements from the airborne sensors 68 00:04:10,326 --> 00:04:12,786 and from the satellites to calibrate 69 00:04:12,846 --> 00:04:14,676 with that carbon on the ground. 70 00:04:19,036 --> 00:04:23,196 >> The mangroves in Gabon are one 71 00:04:23,466 --> 00:04:25,956 of the tallest mangroves in the world. 72 00:04:27,136 --> 00:04:29,976 We are interested to know how the water circulates 73 00:04:29,976 --> 00:04:33,716 within this ecosystem, how it comes in and out of the system. 74 00:04:34,146 --> 00:04:36,566 So once we understand the hydrology of these systems, 75 00:04:37,116 --> 00:04:42,776 it helps us also understand how these ecosystem really work. 76 00:04:43,556 --> 00:04:45,516 And what drives their productivity. 77 00:04:45,926 --> 00:04:48,426 These mangroves are some 78 00:04:48,426 --> 00:04:51,106 of the most productive ecosystems on earth. 79 00:04:51,606 --> 00:04:54,716 They stock a huge amount of carbon, of which most 80 00:04:55,016 --> 00:05:00,426 of it is located and captured in the soils. 81 00:05:03,206 --> 00:05:07,106 The advantage of the airborne campaign 82 00:05:07,106 --> 00:05:12,556 over any other observations, like spaceborne observations, 83 00:05:13,706 --> 00:05:15,976 is with airborne you can go wherever you want, 84 00:05:16,266 --> 00:05:16,976 whenever you want. 85 00:05:17,556 --> 00:05:22,646 You can have almost real time and designated campaign just 86 00:05:22,746 --> 00:05:26,816 to observe a given phenomenon, like this one here, 87 00:05:26,816 --> 00:05:28,196 which is a mangrove ecosystem. 88 00:05:29,006 --> 00:05:33,366 What happens in these systems, which are driven by hydrology, 89 00:05:33,986 --> 00:05:37,926 is that you have tidal impact that comes in and out 90 00:05:38,206 --> 00:05:39,836 of these ecosystems twice a day. 91 00:05:40,136 --> 00:05:41,336 It's extremely dynamic. 92 00:05:42,026 --> 00:05:44,366 >> So you see where the roots are dark, 93 00:05:44,546 --> 00:05:45,956 that's how high the tide goes. 94 00:05:46,406 --> 00:05:50,206 >> And you can only monitor this kind of ecosystem 95 00:05:50,276 --> 00:05:51,476 with airborne sensors. 96 00:05:52,136 --> 00:05:56,046 The spaceborne sensors have repeat pass periods in the order 97 00:05:56,046 --> 00:05:57,436 of weeks to months, 98 00:05:57,896 --> 00:06:02,246 so the airborne campaign is optimum for that. 99 00:06:02,706 --> 00:06:06,936 In particular, the UAVSAR, we are not only using it to try 100 00:06:07,036 --> 00:06:09,176 to estimate forest canopy height 101 00:06:09,786 --> 00:06:12,936 but we are also developing this new technique whereby we can 102 00:06:13,176 --> 00:06:17,916 measure water level with repeat pass interferometry. 103 00:06:17,916 --> 00:06:22,246 So we cover the same area during a full tidal cycle 104 00:06:22,866 --> 00:06:26,856 as the water rises and retreats from the ecosystem, 105 00:06:27,576 --> 00:06:33,616 and the UAVSAR can actually give you this sort of measurement. 106 00:06:33,616 --> 00:06:36,606 We will be able to measure the relative change in height 107 00:06:36,866 --> 00:06:38,946 of the water within the ecosystems. 108 00:06:39,196 --> 00:06:42,706 And here we're setting up probes in these systems 109 00:06:43,426 --> 00:06:49,286 that will be used in the validation of the data sets 110 00:06:49,406 --> 00:06:51,156 and the measurement from the UAVSAR. 111 00:06:53,606 --> 00:06:57,106 >> We use these data to get a feeling 112 00:06:57,106 --> 00:07:00,976 for what the radar images, the final product, 113 00:07:01,036 --> 00:07:04,896 is going to look like, and we also provide these images 114 00:07:05,156 --> 00:07:08,956 to researchers on the ground so they can decide where to go 115 00:07:08,956 --> 00:07:10,006 to do their field work. 116 00:07:10,626 --> 00:07:15,306 This is a region that's very hard to do field work at, 117 00:07:15,556 --> 00:07:19,446 so the researchers have to be smart about deciding a place 118 00:07:19,616 --> 00:07:21,876 to establish their field plots. 119 00:07:22,380 --> 00:07:24,800 Music 120 00:07:26,360 --> 00:07:29,360 We want to map forest biomass globally, 121 00:07:29,726 --> 00:07:34,616 and the ultimate goal is to tie that into the carbon cycles. 122 00:07:35,156 --> 00:07:37,976 It's important to understand how that changes in space 123 00:07:38,136 --> 00:07:41,566 and in time, because this will have consequences 124 00:07:41,796 --> 00:07:43,496 for management and policy. 125 00:07:44,086 --> 00:07:48,776 And in order to do that, we need to see what the biomass is 126 00:07:49,466 --> 00:07:52,766 in different places of the world and how forests respond 127 00:07:53,326 --> 00:07:56,206 to changes in climate and changes in management. 128 00:07:57,636 --> 00:07:59,516 >> And now that we're, you know, very interested 129 00:07:59,516 --> 00:08:02,706 in doing carbon accounting, we've also found 130 00:08:02,706 --> 00:08:06,026 that mangroves store large amounts of carbon, 131 00:08:06,026 --> 00:08:09,456 not only in the trees, and these trees here in Gabon are huge, 132 00:08:09,516 --> 00:08:13,186 so they have a lot of carbon in their trunks and their 133 00:08:13,186 --> 00:08:15,626 above ground biomass, but there's also a lot 134 00:08:15,626 --> 00:08:18,416 of carbon that's stored in the soils here. 135 00:08:19,746 --> 00:08:25,036 It's really, I think, important to be able to try to account 136 00:08:25,036 --> 00:08:29,606 for that, so that we can continue protecting them 137 00:08:31,136 --> 00:08:33,506 and just get a better understanding